Characterization and Verification of Trotterized Digital Quantum
Simulation via Hamiltonian and Liouvillian Learning
- URL: http://arxiv.org/abs/2203.15846v2
- Date: Wed, 13 Jul 2022 15:21:15 GMT
- Title: Characterization and Verification of Trotterized Digital Quantum
Simulation via Hamiltonian and Liouvillian Learning
- Authors: Lorenzo Pastori, Tobias Olsacher, Christian Kokail, Peter Zoller
- Abstract summary: We propose Floquet Hamiltonian learning to reconstruct the experimentally realized Floquet Hamiltonian order-by-order.
We show that our protocol provides the basis for feedback-loop design and calibration of new types of quantum gates.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The goal of digital quantum simulation is to approximate the dynamics of a
given target Hamiltonian via a sequence of quantum gates, a procedure known as
Trotterization. The quality of this approximation can be controlled by the so
called Trotter step, that governs the number of required quantum gates per unit
simulation time. The stroboscopic dynamics generated by Trotterization is
effectively described by a time-independent Hamiltonian, referred to as the
Floquet Hamiltonian. In this work, we propose Floquet Hamiltonian learning to
reconstruct the experimentally realized Floquet Hamiltonian order-by-order in
the Trotter step. This procedure is efficient, i.e., it requires a number of
measurements that scales polynomially in the system size, and can be readily
implemented in state-of-the-art experiments. With numerical examples, we
propose several applications of our method in the context of verification of
quantum devices: from the characterization of the distinct sources of errors in
digital quantum simulators to determining the optimal operating regime of the
device. We show that our protocol provides the basis for feedback-loop design
and calibration of new types of quantum gates. Furthermore it can be extended
to the case of non-unitary dynamics and used to learn Floquet Liouvillians,
thereby offering a way of characterizing the dissipative processes present in
NISQ quantum devices.
Related papers
- Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems [77.88054335119074]
We use FNOs to model the evolution of random quantum spin systems.
We apply FNOs to a compact set of Hamiltonian observables instead of the entire $2n$ quantum wavefunction.
arXiv Detail & Related papers (2024-09-05T07:18:09Z) - Scalable simulation of non-equilibrium quantum dynamics via classically optimised unitary circuits [0.0]
We show how to optimise unitary brickwall circuits to approximate quantum time evolution operators.
We demonstrate that, for various three-body Hamiltonians, our approach produces quantum circuits that can outperform Trotterization in both their accuracy and the quantum circuit depth needed to implement the dynamics.
We also explain how to choose an optimal time step that minimises the combined errors of the quantum device and the brickwall circuit approximation.
arXiv Detail & Related papers (2023-12-21T19:00:35Z) - Predicting Arbitrary State Properties from Single Hamiltonian Quench Dynamics [0.8639941465436463]
We introduce the Hamiltonian shadow protocol, which estimates arbitrary state properties on analog quantum simulators.
The protocol does not require sophisticated control and can be applied to a wide range of analog quantum simulators.
arXiv Detail & Related papers (2023-11-01T17:52:23Z) - Importance sampling for stochastic quantum simulations [68.8204255655161]
We introduce the qDrift protocol, which builds random product formulas by sampling from the Hamiltonian according to the coefficients.
We show that the simulation cost can be reduced while achieving the same accuracy, by considering the individual simulation cost during the sampling stage.
Results are confirmed by numerical simulations performed on a lattice nuclear effective field theory.
arXiv Detail & Related papers (2022-12-12T15:06:32Z) - Probing finite-temperature observables in quantum simulators of spin
systems with short-time dynamics [62.997667081978825]
We show how finite-temperature observables can be obtained with an algorithm motivated from the Jarzynski equality.
We show that a finite temperature phase transition in the long-range transverse field Ising model can be characterized in trapped ion quantum simulators.
arXiv Detail & Related papers (2022-06-03T18:00:02Z) - Numerical Simulations of Noisy Quantum Circuits for Computational
Chemistry [51.827942608832025]
Near-term quantum computers can calculate the ground-state properties of small molecules.
We show how the structure of the computational ansatz as well as the errors induced by device noise affect the calculation.
arXiv Detail & Related papers (2021-12-31T16:33:10Z) - Robustly learning the Hamiltonian dynamics of a superconducting quantum processor [0.5564835829075486]
We robustly estimate the free Hamiltonian parameters of bosonic excitations in a superconducting-qubit analog quantum simulator.
Our results constitute an accurate implementation of a dynamical quantum simulation.
arXiv Detail & Related papers (2021-08-18T18:01:01Z) - Quantum algorithms for quantum dynamics: A performance study on the
spin-boson model [68.8204255655161]
Quantum algorithms for quantum dynamics simulations are traditionally based on implementing a Trotter-approximation of the time-evolution operator.
variational quantum algorithms have become an indispensable alternative, enabling small-scale simulations on present-day hardware.
We show that, despite providing a clear reduction of quantum gate cost, the variational method in its current implementation is unlikely to lead to a quantum advantage.
arXiv Detail & Related papers (2021-08-09T18:00:05Z) - Algebraic Compression of Quantum Circuits for Hamiltonian Evolution [52.77024349608834]
Unitary evolution under a time dependent Hamiltonian is a key component of simulation on quantum hardware.
We present an algorithm that compresses the Trotter steps into a single block of quantum gates.
This results in a fixed depth time evolution for certain classes of Hamiltonians.
arXiv Detail & Related papers (2021-08-06T19:38:01Z) - Low-depth Hamiltonian Simulation by Adaptive Product Formula [3.050399782773013]
Various Hamiltonian simulation algorithms have been proposed to efficiently study the dynamics of quantum systems on a quantum computer.
Here, we propose an adaptive approach to construct a low-depth time evolution circuit.
Our work sheds light on practical Hamiltonian simulation with noisy-intermediate-scale-quantum devices.
arXiv Detail & Related papers (2020-11-10T18:00:42Z) - Entanglement Hamiltonian Tomography in Quantum Simulation [0.0]
Entanglement in quantum simulators is an outstanding challenge in today's era of intermediate scale quantum devices.
Here we discuss an efficient tomographic protocol for reconstructing reduced density matrices and entanglement spectra for spin systems.
We show the validity and efficiency of the protocol for a long-range Ising model in 1D using numerical simulations.
arXiv Detail & Related papers (2020-09-18T18:12:22Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.